pab1 · Fully connected

reference_pab1_fc_plm_modulof1_20261104-181348

Metrics

Set	mse	pearsonr	spearmanr	r2	above_wt_n	above_wt_spearmanr	budget_to_max	hit_rate_at_10	mean_at_10	max_at_10	captured_at_10	hit_rate_at_50	mean_at_50	max_at_50	precision_at_50	captured_at_50	hit_rate_at_100	mean_at_100	max_at_100	precision_at_100	captured_at_100	hit_rate_at_1pct	mean_at_1pct	max_at_1pct	precision_at_1pct	captured_at_1pct
train	0.6028	0.9156	0.8638	0.8322	1937.0000	0.0537	2552.0000	0.5000	-0.2106	0.0979	0.5602	0.2600	-0.2355	0.8601	0.0400	0.6032	0.3200	-0.1561	0.8601	0.0200	0.6636	0.3356	-0.1510	1.0301	0.0403	0.6836
validation	1.4718	0.7711	0.7657	0.5900	116.0000	-0.2241	326.0000	0.0000	-0.5167	-0.1004	0.5777	0.2000	-0.3322	0.2777	0.0200	0.7180	0.2400	-0.3142	0.4214	0.1900	0.7638	0.1429	-0.3901	0.0605	0.0000	0.6408
test	2.0026	0.7246	0.7268	0.4983	132.0000	-0.2493	627.0000	0.1000	-0.1962	0.0189	0.7137	0.1600	-0.2616	0.3930	0.0200	0.7793	0.1500	-0.2697	0.3930	0.0900	0.8111	0.1765	-0.2370	0.0644	0.0000	0.7300

Loss per epoch

training validation

Config

name: reference_pab1_fc_plm_modulof1
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 1
model:
  name: fcn
  hidden:
  - 100
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7